Two mathematicians have proved that a straightforward question—how hard is it to untie a knot?—has a complicated answer.
Researchers showed that large language models use a small, specialized subset of parameters to perform Theory-of-Mind reasoning, despite activating their full network for every task.
Data science has become one of the most rewarding and future-driven careers in the US, offering an average annual salary ...
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Mind readers: How large language models encode theory-of-mind
Imagine you're watching a movie, in which a character puts a chocolate bar in a box, closes the box and leaves the room. Another person, also in the room, moves the bar from a box to a desk drawer.
Modern Engineering Marvels on MSN
Quantum Computing’s Surprising Boundary: When Physics Says “No”
While a quantum computer could factor a 2048-bit RSA key in less than a week with fewer than a million qubits, there are ...
Humans have the cognitive capacity to infer and reason about the minds and thoughts of other people. Our brains are very good at it—much better than the Large Language Models or LLMs. Although LLMs ...
For the Highly Cited Researchers 2025 list, Clarivate recognized 6,868 individuals with 7,131 awards from more than 1,300 institutions in 61 countries and regions. (The number of awards exceeds the ...
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Researchers propose a new model for legible, modular software
Coding with large language models (LLMs) holds huge promise, but it also exposes some long-standing flaws in software: code ...
Modern Engineering Marvels on MSN
Matrix Myth Shattered: Physics Proves Reality Beyond Algorithms
Could the deepest laws of nature ever be reduced to lines of code? A team of physicists from Canada, the United States, the ...
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